Coupled or Decoupled Evaluation for Group Recommendation Methods?
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10432911" target="_blank" >RIV/00216208:11320/21:10432911 - isvavai.cz</a>
Výsledek na webu
<a href="http://ceur-ws.org/Vol-2955/paper1.pdf" target="_blank" >http://ceur-ws.org/Vol-2955/paper1.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Coupled or Decoupled Evaluation for Group Recommendation Methods?
Popis výsledku v původním jazyce
Group recommendations are a sub-domain of recommender systems (RS), where the final recommendations should comply with preferences of all members of the group. Usually, group recommendations are built on top of common" single-user" RS via aggregating models or predictions for multiple users with some notions of fairness and relevance in mind. So far, group recommendations were usually evaluated off-line either as a tightly coupled pair with the underlying RS or in a decoupled fashion, where the relevance scores estimated by underlying RS serves as a ground truth. Both evaluation types may suffer from different biases that provide illicit advantages to some classes of group recommending strategies. In experimental part, we evaluate several recent group recommendation models and show that the evaluation process itself significantly affects their perceived usability. While coupled evaluation favors group RS that tend to select per-user best items, decoupled evaluation favors strategies aiming to find items with (some degree of) overall agreement. We further evaluate methods wrt several variants of inverse propensity based de-biasing scenario in order to reduce the popularity bias of coupled evaluations. Also in this case, if groups of similar users are considered, the magnitude of de-biasing has a determining effect on the ordering of individual methods.
Název v anglickém jazyce
Coupled or Decoupled Evaluation for Group Recommendation Methods?
Popis výsledku anglicky
Group recommendations are a sub-domain of recommender systems (RS), where the final recommendations should comply with preferences of all members of the group. Usually, group recommendations are built on top of common" single-user" RS via aggregating models or predictions for multiple users with some notions of fairness and relevance in mind. So far, group recommendations were usually evaluated off-line either as a tightly coupled pair with the underlying RS or in a decoupled fashion, where the relevance scores estimated by underlying RS serves as a ground truth. Both evaluation types may suffer from different biases that provide illicit advantages to some classes of group recommending strategies. In experimental part, we evaluate several recent group recommendation models and show that the evaluation process itself significantly affects their perceived usability. While coupled evaluation favors group RS that tend to select per-user best items, decoupled evaluation favors strategies aiming to find items with (some degree of) overall agreement. We further evaluate methods wrt several variants of inverse propensity based de-biasing scenario in order to reduce the popularity bias of coupled evaluations. Also in this case, if groups of similar users are considered, the magnitude of de-biasing has a determining effect on the ordering of individual methods.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/GJ19-22071Y" target="_blank" >GJ19-22071Y: Flexibilní modely pro hledání známé scény v rozsáhlých kolekcích videa</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Perspectives on the Evaluation of Recommender Systems Workshop
ISBN
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ISSN
1613-0073
e-ISSN
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Počet stran výsledku
13
Strana od-do
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Název nakladatele
CEUR Workshop Proceedings (CEUR-WS.org)
Místo vydání
Neuveden
Místo konání akce
Amsterdam, Netherlands
Datum konání akce
27. 9. 2021
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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